{"id":"W4398311406","doi":"10.7910/dvn/ii5jzg/peuwlt","title":"MSP_F_70_NFL_4_36.xlsx","year":2020,"lang":"pt","type":"dataset","venue":"Harvard Dataverse","topic":"Sports Analytics and Performance","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Polytechnique Montréal","funders":"","keywords":"Physics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0007160291,0.0009332015,0.001769286,0.0005684834,0.0003727333,0.0005759835,0.001927085,0.0007371916,0.1808502],"category_scores_gemma":[0.0002733397,0.001170972,0.000583746,0.0006954537,0.0002167275,0.0006869613,0.001005763,0.001243947,0.8525864],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00024225,"about_ca_system_score_gemma":0.0001876005,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008728384,"about_ca_topic_score_gemma":0.0001472466,"domain_scores_codex":[0.9949632,0.00002699221,0.001942049,0.001835785,0.0002129381,0.001018997],"domain_scores_gemma":[0.9947799,0.00007181091,0.001600902,0.002787231,0.00008512438,0.0006750766],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00007527032,0.0001931283,0.001207174,0.0003885772,0.000384125,0.0002781411,0.0001091356,0.0001464731,6.966255e-7,0.003884042,0.9931045,0.0002287251],"study_design_scores_gemma":[0.0009538977,0.0001827169,0.0007337347,0.0001210221,0.0001728011,0.00001973818,0.00008943961,0.008739945,0.000003296682,0.0001930225,0.9874405,0.001349882],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001163815,0.00004574527,0.0004137097,0.0001170306,0.003571672,0.0004662118,0.9922565,0.00006000106,0.002952731],"genre_scores_gemma":[0.001743687,0.01077406,0.0001673634,0.00288493,0.00152503,0.00002919104,0.9770991,0.0001180209,0.005658621],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.6717362,"threshold_uncertainty_score":0.999074,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0336252715248913,"score_gpt":0.2182394561769121,"score_spread":0.1846141846520208,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}